NewApp Digest
search bot

AI

dbForge 2026.2 Adds a PostgreSQL Debugger, Visual Object Editors and Broader Context for dbForge AI Assistant
Tech Optimizer
October 11, 2026

dbForge 2026.2 Adds a PostgreSQL Debugger, Visual Object Editors and Broader Context for dbForge AI Assistant

Devart has released dbForge 2026.2, a unified database management ecosystem for PostgreSQL developers, featuring an embedded PostgreSQL Debugger that allows for efficient error tracking in server-side code. The Debugger enables breakpoints, step-through code execution, and real-time monitoring of variables and query results. Visual editors for PostgreSQL event triggers, functions, and procedures have been introduced, allowing for easier management without manual SQL writing. The dbForge AI Assistant now offers expanded context awareness, enabling users to attach various documents and select from multiple AI models for generating relevant SQL code. A free Express edition of the AI Assistant is available, with limited features compared to paid plans. Additionally, new SQL refactoring commands and schema comparison improvements have been implemented, along with updates for compatibility with MySQL 26.7 and MariaDB 13.x.
Someone ported Pixel 11’s Rambler voice-to-text to other Android phones
AppWizard
October 11, 2026

Someone ported Pixel 11’s Rambler voice-to-text to other Android phones

Google's Pixel 11 and the Googlebook feature the Rambler voice-to-text functionality, which uses AI to improve traditional voice-to-text capabilities by refining spoken words into coherent text with proper grammar and formatting. Rambler is currently exclusive to the Pixel 11 series, but a developer has ported it to other Android devices through an app called "PixelBoard," a modified version of Gboard. Users can sideload this app from GitHub, but they should proceed at their own risk. Testing on a Galaxy Z Fold 8 showed that the app functions effectively, similar to Rambler on the Pixel 11. It is unclear if Google will extend Rambler support to other devices, and alternatives like Microsoft’s SwiftKey are available on the Play Store.
The developer of an AI-powered driving instruction simulator is spending $1,000 per month just to keep its demo running
AppWizard
October 11, 2026

The developer of an AI-powered driving instruction simulator is spending $1,000 per month just to keep its demo running

Artificial intelligence, particularly through large language models (LLMs), is expected to significantly impact the gaming industry by enhancing non-player characters (NPCs). However, practical implementation has been limited, with few titles like Where Winds Meet exploring this technology. A case study from the developers of Teach My Little Sister How To Drive highlights the financial challenges of integrating LLMs, as daily operational costs have exceeded ,000 due to high player interactions. The developers, Easy Fox, have taken out a bank loan to sustain the demo but are uncertain about its long-term viability. They are considering alternatives like local AI models for players with powerful GPUs, though this would limit accessibility. The game’s reliance on a premium LLM raises questions about its necessity, especially given existing design challenges such as artificial dialogue and misinterpreted commands. The full release of the game is scheduled for January next year.
Microsoft design boss on why Windows 11 can’t please all 1 billion users: “Everyone has different preferences”
Winsage
October 11, 2026

Microsoft design boss on why Windows 11 can’t please all 1 billion users: “Everyone has different preferences”

Microsoft is planning a significant transformation of Windows 11, focusing on modernizing its user interface and legacy features while addressing diverse user preferences. The new Windows Search capabilities allow users to perform actions like toggling settings directly from search results, which has led to discussions about the relevance of the Start menu. Diego Baca, Vice President of Design at Windows, emphasized the challenge of designing for over a billion users while aiming to improve performance and customization. The Recommended/Recent section of the Start menu has received mixed feedback, with many users expressing discontent despite Microsoft viewing it as a valuable feature intended to enhance productivity. Scenarios for its use include displaying missed meeting recordings and suggesting frequently used apps. In March 2026, Microsoft acknowledged past oversights with Windows and committed to revitalizing the operating system, aiming to modernize interfaces and integrate more WinUI-based features. The company plans to deliver 100% native applications on the platform and is focused on providing greater customization options for users.
Android Malware Caught by Teaching AI to Read Apps as Pictures
AppWizard
October 11, 2026

Android Malware Caught by Teaching AI to Read Apps as Pictures

A research team from Turkey, led by Erdal Başaran and Ömer Okucu of Ağrı İbrahim Çeçen University, along with Yusuf Alaca from Hitit University, has developed an innovative detection framework for Android malware that utilizes a visual approach. This framework transforms key features of Android applications into images, allowing a Vision Transformer to differentiate between benign software and malware. The researchers created two types of images from static and dynamic analysis features: a conventional 2D grayscale image and a QR code image. Separate Vision Transformer models were trained on each image type, and spatial pooling features were extracted from deeper layers to create a comprehensive representation of application behavior. To refine the fused feature vector, Recursive Feature Elimination (RFE) was employed, enhancing classification clarity and reducing computational load. The final classification utilized a majority-voting ensemble strategy, achieving a detection accuracy of 98.72 percent, surpassing standalone models. The study demonstrates that the multimodal system outperforms individual grayscale or QR code pathways. The dataset used is publicly available, promoting reproducibility. The framework's reliance on static and dynamic analysis features allows it to adapt to new threats, and the novel QR code representation offers distinctive visual signatures of malicious behavior. However, challenges remain regarding feature extraction quality and computational demands.
Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lake
Tech Optimizer
October 11, 2026

Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lake

Amazon has introduced a new capability for Amazon Aurora PostgreSQL that allows users to query operational data alongside data stored in data lakes formatted in Apache Iceberg and Apache Parquet. This feature enables direct access to Iceberg REST Catalog-compatible catalogs, eliminating the need for data duplication or relocation. The integration of DuckDB within Aurora PostgreSQL allows users to query live operational data, including uncommitted writes, alongside data from data lakes using standard PostgreSQL syntax. This capability is available on Aurora PostgreSQL versions 17 (starting with 17.11) and 18 (starting with 18.6). Users must create an Aurora PostgreSQL cluster, attach an IAM role with the AuroraAnalytics feature, and enable the aurora_analytics extension to utilize this feature. They can create foreign tables referencing Iceberg or Parquet data in the data lake, and query them using familiar PostgreSQL commands. Aurora optimizes query performance through techniques like predicate pushdown and column pruning, and users can monitor query behavior with metrics provided by aurora_analytics_stat_statements(). Direct querying of Apache Iceberg and Parquet data is available across all commercial AWS Regions and AWS GovCloud (US) Regions without additional charges, aside from incremental Aurora compute and Amazon S3 request costs.
AWS embeds DuckDB in its PostgreSQL DBMS to speed queries of live and historical data
Tech Optimizer
October 10, 2026

AWS embeds DuckDB in its PostgreSQL DBMS to speed queries of live and historical data

Amazon Web Services Inc. has enhanced its Aurora PostgreSQL database management system to allow users to query the Apache Iceberg data lake directly. This feature integrates the DuckDB analytical engine, enabling seamless access to live transactions and historical records without data duplication or complex ETL processes. Customers can use existing PostgreSQL applications to query data in Amazon S3, including S3 Tables. The integration aims to reduce the engineering workload associated with data pipelines and supports real-time applications. DuckDB processes analytical scans within Aurora, eliminating extra network hops and allowing single queries to access both live and archived data. The feature supports external catalogs compliant with the Iceberg REST Catalog specification and can create foreign tables referencing data across multiple catalogs. Aurora optimizes query performance by filtering records and caching frequently accessed data. Customers can combine recent transactions in Aurora with historical data from S3 without manual schema definitions. For low-latency workloads, selected data can be copied into native Aurora tables using standard SQL. This capability requires the aurora_analytics extension and an AWS IAM role for S3 and Glue access, and is compatible with Aurora PostgreSQL versions 17.11 and 18.6. The feature is available across all AWS regions at no additional charge, with costs incurred only for Aurora computing resources and S3 requests.
AWS Embeds DuckDB in Aurora PostgreSQL, Enabling Direct Data Lake Queries Without ETL
Tech Optimizer
October 10, 2026

AWS Embeds DuckDB in Aurora PostgreSQL, Enabling Direct Data Lake Queries Without ETL

Amazon Web Services (AWS) has integrated the open-source analytics engine DuckDB into its Amazon Aurora PostgreSQL database, allowing users to query Apache Iceberg tables and Parquet files directly from data lakes without traditional ETL processes. This feature, announced on September 30, 2026, enables seamless access to both operational and historical data in a single SQL statement. Users can enable the aurora_analytics extension, assign an IAM role for S3 and AWS Glue access, and create external tables using standard PostgreSQL syntax. The integration supports Iceberg tables managed by AWS Glue Data Catalog, Iceberg REST Catalog-compatible external catalogs, Parquet files on S3, and S3 Tables. Performance optimizations include predicate pushdown and column pruning on the data lake side, with caching for frequently accessed data. This feature is available for Aurora PostgreSQL versions 17.11 and later, and 18.6 and later, across all commercial regions and AWS GovCloud (US), with no additional charges beyond Aurora compute and S3 request fees. In a separate development, AWS has a significant contract with AI company Anthropic, anticipating billion in cloud-related contractual obligations over several years, with approximately billion projected to be paid to Amazon from a 10-year agreement announced in April 2026. Anthropic's revenue has shown impressive growth, with first-quarter 2026 revenue reaching 0 million and second-quarter revenue at .8 billion. However, risks are present, as a significant portion of Anthropic's revenue comes from a few customers, and many larger clients lack long-term contracts. Amazon has invested .8 billion in Anthropic, with its stake valued at approximately billion as of June 2026.
Supabase Announces $150M in New Funding and Turso Acquisition
Tech Optimizer
October 10, 2026

Supabase Announces $150M in New Funding and Turso Acquisition

Supabase has secured 0 million in funding led by GIC, with participation from Alphabet's CapitalG, IronArc, and SquarePeg. This follows a million Series F round four months earlier. Supabase has acquired Turso, a platform for managing databases for agentic workloads, to enhance its product development and provide liquidity for employees. The company is adding over 1 million users and 4 million databases monthly, with 70% created by AI-driven tools, reflecting a 600% year-over-year increase in databases. Turso's architecture allows for on-demand provisioning of databases in public cloud and BYOC setups. Glauber Costa, founder of Turso, will become Head of Agentic Services at Supabase. Supabase, established in 2020, supports over 13 million developers with a comprehensive backend solution.
Search